With the emergence of delay-sensitive task completion, computational offloading becomes
increasingly desirable due to the end-user's limitations in performing computation-intense …

Computational offloading becomes an important and essential research issue for the delay-
sensitive task completion at resource-constraint end-users. Fog computing that extends the …

Fog computing systems have been widely integrated in IoT-based applications to improve
quality of services (QoS) such as low response service delays. This improvement is enabled …

By providing the flexible and shared computing and communication resources along with
the cloud services, the fog computing became an attractive paradigm to support delay …

A fundamental problem in fog computing networks is how to schedule the deadline-aware
offloaded tasks that directly arrive from the end-users and via other fog nodes. The …

In fog computing, end-users can offload the computation-intensive tasks to the fog node in
the proximity. Additionally, the fog nodes also offload these tasks to the cloud and …

Offloading computation tasks from resource-poor end devices to powerful backend clouds
has become a prevalent solution thanks to the rapid development of cloud computing …

Network data traffic has expanded exponentially over the past decade, resulting in massive
congestion in heterogeneous networks. Nevertheless, it is nearly impossible to run latency …

Fog computing leverages the computational resources at the network edge to meet the
increasing demand for latency-sensitive applications in large-scale industries. In this article …

With the widespread application of wireless communication technology and continuous
improvements to Internet of Things (IoT) technology, fog computing architecture composed …